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适应跨半球不同环境的养殖大西洋鲑鱼中的多重选择特征

Multiple Selection Signatures in Farmed Atlantic Salmon Adapted to Different Environments Across Hemispheres.

作者信息

López María Eugenia, Linderoth Tyler, Norris Ashie, Lhorente Jean Paul, Neira Roberto, Yáñez José Manuel

机构信息

Facultad de Ciencias Veterinarias y Pecuarias, Universidad de Chile, Santiago, Chile.

Department of Animal Breeding and Genetics, Swedish University of Agricultural Sciences, Uppsala, Sweden.

出版信息

Front Genet. 2019 Oct 1;10:901. doi: 10.3389/fgene.2019.00901. eCollection 2019.

Abstract

Domestication of Atlantic salmon started approximately 40 years ago, using artificial selection through genetic improvement programs. Selection is likely to have imposed distinctive signatures on the salmon genome, which are often characterized by high genetic differentiation across population and/or reduction in genetic diversity in regions associated to traits under selection. The identification of such selection signatures may give insights into the candidate genomic regions of biological and commercial interest. Here, we used three complementary statistics to detect selection signatures, two haplotype-based (iHS and XP-EHH), and one F-based method (BayeScan) among four populations of Atlantic salmon with a common genetic origin. Several regions were identified for these techniques that harbored genes, such as and , which have been associated with growth-related traits or the gene related to immune system in Atlantic salmon, making them particularly relevant in the context of aquaculture. Our results provide candidate genes to inform the evolutionary and biological mechanisms controlling complex selected traits in Atlantic salmon.

摘要

大西洋鲑的驯化始于约40年前,通过遗传改良计划进行人工选择。选择可能在鲑鱼基因组上留下了独特的印记,其特征通常是群体间高度的遗传分化和/或与选择性状相关区域的遗传多样性降低。识别这些选择印记可能有助于深入了解具有生物学和商业价值的候选基因组区域。在此,我们使用三种互补统计方法来检测选择印记,其中两种基于单倍型(iHS和XP-EHH),一种基于F统计量的方法(BayeScan),对四个具有共同遗传起源的大西洋鲑群体进行分析。通过这些技术鉴定出了几个含有相关基因的区域,如与生长相关性状有关的基因以及与大西洋鲑免疫系统相关的基因,这使得它们在水产养殖背景下具有特别重要的意义。我们的结果提供了候选基因,有助于了解控制大西洋鲑复杂选择性状的进化和生物学机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5853/6786245/3f1da2c8a599/fgene-10-00901-g001.jpg

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